The combination of multiple classifiers is one of the effective ways to improve the recognition performance.
多分类器组合是提高识别效果的一条有效途径。
This paper studies the design of pattern recognition system based multiple classifiers combination.
本文对多分类器融合模式识别的设计方法进行了研究。
Multiple classifiers combination makes use of the complementarities of different classifiers and different characters to improve recognition correctness.
多分类器组合利用不同分类器、不同特征之间的互补性，提高了组合分类器的识别率。
A combination of multiple classifiers is a powerful solution to the difficult pattern recognition problem.
多分类器联合是解决复杂模式识别问题的有效办法。
The methods of multiple classifiers combination are proposed to classify protein-protein interaction sites.
提出将多分类器组合算法应用于蛋白质-蛋白质相互作用位点预测。
The methods of multiple classifiers combination are proposed to classify protein-protein interaction sites.
提出将多分类器组合算法应用于蛋白质-蛋白质相互作用位点预测。
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